STACKING ENSEMBLE LEARNING AND INSTANCE HARDNESS THRESHOLD FOR BANK TERM DEPOSIT ACCEPTANCE CLASSIFICATION ON IMBALANCED …

B Watono, E Utami, D Ariatmanto - Jurnal Teknik Informatika …, 2024 - jutif.if.unsoed.ac.id
Bank term deposits are a popular banking product with relatively high interest rates.
Predicting potential customers is crucial for banks to maximize revenue from this product …

Development of Pre-Processing for Chronic Kidney Disease Prediction Using K-Nearest Neighbors Imputer and Chi-Square

R Mardianto, A Saikhu - 2024 8th International Conference on …, 2024 - ieeexplore.ieee.org
Chronic Kidney Disease (CKD) is a condition in which the function and/or structure of the
kidneys are severely damaged, resulting in an inability to filter blood as they should. This …

Classification of Darknet Traffic Using the AdaBoost Classifier Method

RE Sari, D Stiawan, N Afifah… - … Journal of Electrical …, 2024 - section.iaesonline.com
Darknet is famous for its ability to provide anonymity which is often used for illegal activities.
A security monitor report from BSSN highlights that 290.556 credential data from institution …

Implementation of Stacking Ensemble Learning for Bank Term Deposit Acceptance Classification

B Watono, E Utami, D Ariatmanto - … International Conference on …, 2024 - ieeexplore.ieee.org
Accurately classifying bank term deposit acceptance is critical for optimizing marketing
strategies. This study proposes a novel Stacked Ensemble Learning (SEL) approach to …

Defending Against Local Adversarial Attacks through Empirical Gradient Optimization

B Sun, X Ma, H Wang - Tehnički vjesnik, 2023 - hrcak.srce.hr
Sažetak Deep neural networks (DNNs) are susceptible to adversarial attacks, including the
recently introduced locally visible adversarial patch attack, which achieves a success rate …

Analysis of Anomaly with Machine Learning Based Model for Detecting HTTP DDoS Attack

R Adila, AB Nusantara, MAR Putra… - … Conference on Green …, 2024 - ieeexplore.ieee.org
At present, almost every device is connected to the internet for communication. Information
also can be quickly obtained via the Internet. The Internet offers various helpful services like …

Defending Against Local Adversarial Attacks through Empirical Gradient Optimization.

SUN Boyang, MA **aoxuan… - Technical Gazette …, 2023 - search.ebscohost.com
Deep neural networks (DNNs) are susceptible to adversarial attacks, including the recently
introduced locally visible adversarial patch attack, which achieves a success rate exceeding …

CURATING DATASETS TO ENHANCE SPYWARE CLASSIFICATION

MA Mimi, H Ng, TTV Yap - jjcit.org
Current methods for spyware classification lack effectiveness as well-structured datasets are
typically absent, especially those with directionality properties in their set of features. In this …

Farklı kodlama tekniklerinin KNN algoritmasının mantar sınıflandırma performansı üzerindeki etkisi

K İleri - Niğde Ömer Halisdemir Üniversitesi Mühendislik …, 2025 - dergipark.org.tr
In this study, the effects of different encoding techniques on the K-Nearest Neighbors (KNN)
algorithm in the classification of mushrooms as poisonous or edible were investigated …